There is an inherent link between academia and industry that rarely gets the acknowledgement it deserves. Hear from a roundtable of PhD students on the impact that the collaborative relationship between academia and industry has on their work and the role that technology plays in the “Science Futures” initiative.

Technology Networks spoke with Peter Zipfell to learn more about the Innovation Summits and the key themes that will be explored at the events. In this interview, Peter also shares his thoughts on current trends in analytical technologies and software.

To learn more about the CMU Cloud Lab, the motivation behind the project and the benefits it will bring, Technology Networks spoke to Rebecca Doerge, PhD, dean, Mellon College of Science, Carnegie Mellon University, and Toby Blackburn, head of business development and research, Emerald Cloud Lab.

This article explores how the expanded use of systematic, collaborative registries should allow the medical device, pharmaceutical and oncology communities to gain additional momentum on the road toward personalized cancer care.

Technology Networks spoke to Linda De Jesus, senior vice president and chief commercial officer at Azenta Life Sciences to find out more about the announcement and how this will help drive innovation with greater speed and accuracy.

Dimitris Argyropoulos explores the history of CASE and some of the ways it can be used to help scientists.

An interview with LARVOL’s Sabrina Bellisario and Dr. Mark Gramling helps provide insights into the importance of precision medicine databases and how LARVOL is providing access to the information pharma and biotech companies need as they develop cancer treatments.

Fitbits, Apple Watches, smartphone apps and other products have become ubiquitous in consumer health tracking. As these technologies quantify and capture users' physiology, they are generating an abundance of data. These data contain a wealth of information that can enable early detection of diseases like diabetes, asthma and heart conditions. But to use this data effectively, a wearable and voiceprint data analysis strategy will be required.

Technology Networks had the pleasure of speaking with Dr. Vladimir Makarov, project manager of the Pistoia Alliance Artificial Intelligence and Machine Learning Centre of Excellence, to learn more about the DataFAIRy project, its aims and importance.

How can R&D leaders turn the huge potential of AI into real-world success? In this article, James Malone, CTO, SciBite (an Elsevier company), looks at five ways to unlock the value of AI.